Abstract 4035: MicroRNA-221 levels correlate with aggressive and clinically recurrent prostate cancers
Notice bibliographique
Résumé
Abstract One of the most important challenges in prostate cancer research is to identify biomarkers that are predictive of cancer aggressiveness and future tumor recurrence following radical prostatectomy. Recent studies have shown that altered expression of microRNAs (miRs) is involved in the development of prostate cancer, and among the differentially expressed miRNAs, miR-221 may be critical in metastatic induction/regulation. While the precise role of this miRNA in facilitating malignant progression remains unclear, expression of miR-221 in prostate cancer may correlate with disease state/status and serve as a surrogate biomarker for tumor recurrence and/or aggressiveness. In the present study, we sought to investigate whether miR-221 is differentially regulated in patients with aggressive and non-aggressive tumors relative to control normal prostate cell line RWPE-1 and, more specifically, whether this miRNA can be used as biomarker for disease recurrence. To address this question, we initially chose to assess the relative expression of miR-221 in a series of aggressive (n=69) and non-aggressive (n=45) primary carcinoma tissues derived from clinically resected prostates by quantitative real-time PCR. Aggressive tumors were categorized based on clinicopathological parameters such as Gleason score of 8 or higher, high PSA levels, presence of metastasis, invasion to the seminal vesicles, and recurrence after radical prostatectomy. Relative expression of mature miR-221 in tumors was quantified in comparison to control prostate epithelial cell line, RWPE-1, which was set to be 1x. Levels of miR-221 expression were found to be variable. Among all aggressive and non-aggressive cancer patients, expression of miR-221 transcript levels was differentially expressed relative to control sample. However, when we divided this group of patients on the basis of miR-221 expression levels, 72% of the patients with aggressive tumors had miR-221 less than 5-fold the RWPE-1 levels and only 28% of the patients had miR-221 expression equal to or more than 5-fold RWPE-1 levels. On the other hand, 53% of the patients with non-aggressive tumors had miR-221 less than 5-fold the RWPE-1 levels compared to 47% of the patients with miR-221 equal to or more than 5-fold RWPE-1 levels. Our results show that miR-221 is lower in majority of aggressive prostate cancer and differential expression may have utility as a biomarker for disease recurrence. Note: This abstract was not presented at the AACR 101st Annual Meeting 2010 because the presenter was unable to attend. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 101st Annual Meeting of the American Association for Cancer Research; 2010 Apr 17-21; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2010;70(8 Suppl):Abstract nr 4035.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».